Mean and standard deviation for linear combinations

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The discussion revolves around finding the mean (ybar) and standard deviation (Sy) for the transformation of a data set X with a known mean (xbar = 100) and standard deviation (Sx = 10) into a new variable Y defined by the equation 2(Yi - 5)/10 + 7. Participants clarify that the transformation can be expressed in the form Yi = axi + b, allowing the application of the formulas ybar = a(xbar) + b and Sy = aSx. There is some confusion regarding the relationship between Yi and Xi, with suggestions that the expression could be rewritten to solve for Yi in terms of Xi. Ultimately, the transformation leads to the conclusion that Yi can be expressed as Yi = 5Xi - 30, facilitating the calculation of the new mean and standard deviation. Understanding the relationship between the variables is crucial for accurately determining ybar and Sy.
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Homework Statement



Data set in X with mean xbar = 100 and standard deviation Sx = 10

Find ybar and Sy for 2(Yi-5)/10 + 7



Homework Equations





The Attempt at a Solution



All the problems I have seen are in the form yi = axi + b in which case the mean ybar = a(xbar) + b and Sy = aSx

What does Yi represent exactly? How does it relate to xi?
 
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I don't see how you can find ybar and Sy unless you know the relationship between X and Y.

You show an expression 2(Yi - 5)/10 + 7 = (Yi - 5)/5 + 7. Could this be Xi?

If that's the case, then you can solve for Yi.

Xi = (Yi - 5)/5 + 7
==> Xi - 7 = (Yi - 5)/5
==> 5(Xi - 7) = (Yi - 5)
==> 5(Xi - 7) + 5 = Yi
or
Yi = 5Xi - 30
 
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